bi-weekly 8bit lora zero3 check

axolotl-ai-cloud · Aug 22, 2024 · ea0d058 · ea0d058
1 parent de4ea2d
commit ea0d058
Showing 1 changed file with 59 additions and 0 deletions.
diff --git a/tests/e2e/multigpu/test_llama.py b/tests/e2e/multigpu/test_llama.py
@@ -339,3 +339,62 @@ def test_fsdp_qlora_prequant_packed(self, temp_dir):
                 str(Path(temp_dir) / "config.yaml"),
             ]
         )
+
+    @with_temp_dir
+    def test_8bit_lora_ds_zero3(self, temp_dir):
+        # pylint: disable=duplicate-code
+        cfg = DictDefault(
+            {
+                "base_model": "TinyLlama/TinyLlama_v1.1",
+                "load_in_8bit": True,
+                "tokenizer_type": "LlamaTokenizer",
+                "sequence_len": 2048,
+                "sample_packing": True,
+                "eval_sample_packing": False,
+                "pad_to_sequence_len": True,
+                "adapter": "lora",
+                "lora_r": 8,
+                "lora_alpha": 16,
+                "lora_dropout": 0.05,
+                "lora_target_linear": True,
+                "val_set_size": 0.05,
+                "special_tokens": {
+                    "unk_token": "<unk>",
+                    "bos_token": "<s>",
+                    "eos_token": "</s>",
+                },
+                "datasets": [
+                    {
+                        "path": "tatsu-lab/alpaca",
+                        "type": "alpaca",
+                    },
+                ],
+                "num_epochs": 1,
+                "max_steps": 50,
+                "micro_batch_size": 4,
+                "gradient_accumulation_steps": 4,
+                "output_dir": temp_dir,
+                "learning_rate": 0.00001,
+                "optimizer": "adamw_8bit",
+                "lr_scheduler": "cosine",
+                "flash_attention": True,
+                "deepspeed": "deepspeed_configs/zero3_bf16_cpuoffload_all.json",
+            }
+        )
+
+        # write cfg to yaml file
+        Path(temp_dir).mkdir(parents=True, exist_ok=True)
+        with open(Path(temp_dir) / "config.yaml", "w", encoding="utf-8") as fout:
+            fout.write(yaml.dump(cfg.to_dict(), Dumper=yaml.Dumper))
+
+        execute_subprocess_async(
+            [
+                "accelerate",
+                "launch",
+                "--num-processes",
+                "2",
+                "-m",
+                "axolotl.cli.train",
+                str(Path(temp_dir) / "config.yaml"),
+            ]
+        )